Python online course
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    Python and Data Analysis Training

    Python Online Course with Certification

    Learn Python in 3 months, from the basics to data analysis with NumPy, Pandas and Matplotlib. Linux and SQL are included. Choose live online, classroom or self paced learning. This Python course online with certificate ends with a certificate of completion.

    ★ 4.3 out of 5 rating 15k+ learners trained Certificate on completion
    • Live Interactive Classes
    • Job Assistance
    • Industry Expert Trainers
    • Recorded Classes on LMS
    • Hands On Practicals
    • Online and Classroom Batches

    or call +91 8147111254. Monday to Saturday, 9 AM to 7 PM.

    Get Course Details
    A learning advisor will call you within 24 hours.
    Course Duration
    3 Months
    Learning Mode
    Live Online, Classroom and Self Paced
    Projects
    Practicals and a Real Time Project
    Certification
    Certificate of Completion
    Job Support
    Job Assistance
    Batch Timing
    [Confirm batch timings]
    Experience Level
    Beginner Friendly
    Fees Start At
    ₹5,000

    Who Should Take This Online Python Course for Beginners?

    This course is for:

    Beginners

    Start from scratch with Linux, SQL and Python basics.

    Students and Graduates

    Build a programming base and your first data analysis skills.

    Working Professionals

    Learn on a flexible schedule with recorded classes on your LMS.

    Aspiring Data Analysts

    Learn NumPy, Pandas and Matplotlib with SQL before moving to data tools.

    Not sure which course is right for you?
    Take our 2 minute course finder to choose between Python, Data Analyst, Data Science and Big Data.
    Find My Course →

    What You Will Learn in the Python Course

    Linux SQL Python Setup and Basics Operators Data Structures Control Flow NumPy and SciPy Matplotlib and Pandas
    By the end of the course, you'll be able to:
    Python tools and libraries
    Python
    Anaconda
    Linux
    MySQL
    NumPy
    SciPy
    Matplotlib
    Pandas

    Python Course with Projects and Hands On Practice

    Practical 01

    Your First Python Programs

    Tools: Python, Anaconda
    You'll build:
    • Python installed with Anaconda
    • Your first Python program
    • Functions with and without parameters, and lambda expressions
    • A class with a member function, a variable and an object
    View Practical →
    Practical 02

    NumPy and SciPy Practicals

    Tools: NumPy, SciPy
    You'll build:
    • An array created with NumPy
    • Standard deviation of a set of numbers
    • Correlation between two variables
    • The Bayes theorem applied to a given dataset
    View Practical →
    Practical 03

    Data Analysis with Pandas

    Tools: Pandas, JSON
    You'll build:
    • Data imported from JSON files
    • Records selected by group
    • Top records filtered and viewed
    • Data sorted, joined and combined
    View Practical →

    Each practical gives you something specific to explain in an interview.

    Python Career Roles After This Course

    Course
    Skill Building
    Hands On Practicals
    Real Time Project
    CV Help
    Interview Preparation
    Job Assistance
    Career roles you can target
    Role Core Skills
    Junior Python Programmer Python basics, data structures, control flow
    Data Analyst SQL, Pandas, NumPy, Matplotlib
    Reporting Analyst SQL, Pandas, Matplotlib
    Junior SQL Developer Linux, SQL, MySQL
    Data Science Trainee NumPy, SciPy, Pandas

    Job assistance is described below with what it includes. These roles are examples of where the skills are used. This course does not guarantee a job offer.

    How Prwatech supports your job search

    What job assistance includes, in detail.

    01

    CV Help

    Get help creating a professionally written CV.

    02

    Interview Preparation

    Get guidance for interview preparation and common interview questions.

    03

    Real Time Project

    Work on an industry grade project to see how Python is used at work.

    04

    Screening Test

    Learners who pass the screening test receive interview calls.

    05

    Job Assistance

    [Describe exactly what else this includes, such as referrals or a job board.]

    92% learners placed since 2010
    Verify against internal placement records and delete this line before the page goes live.
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    Why Learn Python with Prwatech

    15+ Years
    Training Experience
    15k+
    Learners Trained
    Industry
    Experts Lead Live Q&A
    Recorded
    Classes on Your LMS
    Job
    Assistance Included
    Online +
    Classroom Batches

    Python Trainers

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    [Trainer Name]

    [Current role]
    [Years of experience]
    Specialization: [Specialization]
    Photo

    [Trainer Name]

    [Current role]
    [Years of experience]
    Specialization: [Specialization]

    Meet Your Trainers →

    Student Reviews

    ★ 4.3 average from 299+ verified Google reviews

    Every review is public on Google.

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    Before → After
    Before After
    No coding experience Python programs with functions and loops
    No SQL SQL queries to create and manage tables
    No data library skills NumPy, Matplotlib and Pandas
    No interview practice Interview preparation guidance

    Python Course Syllabus

    1. Linux
    • Introduction to Linux and types of operating systems
    • Basic commands
    • Linux architecture, shell and kernel
    • Path variable and the cd command
    • Process states in UNIX
    • File system, and changing and checking the current directory
    • Listing objects by modification time
    2. SQL
    • Databases, DBMS and their types
    • MySQL, SHOW DATABASES and USE
    • CREATE TABLE and INSERT INTO
    • SELECT, UPDATE, DELETE and TRUNCATE
    • SQL data types and primary keys
    • Null and not null values, and auto increment
    3. Python Environment Setup and Language Basics
    • Introduction to Python, its features and advantages over other languages
    • Installing Anaconda Python on Windows, Mac and Linux, and deploying a Python IDE
    • Basic commands, data types, variables and keywords
    • Keyboard shortcuts and magic functions
    • Built in data types, classes, modules and strings
    • Loops and control statements: while, for, if, break, else and continue
    • Hands on: first Python program, functions with and without parameters, lambda expressions, classes, member functions and objects
    4. Operators and Python Data Structures
    • Arithmetic, relational, logical, membership, identity, bitwise and assignment operators
    • Operator precedence, evaluating expressions and type casting
    • Lists: creating, accessing, joining, replicating and slicing
    • Tuples: creating, accessing, joining, replicating and slicing
    • Sets and frozen sets: creating, accessing, joining, replicating and slicing
    • Dictionaries: accessing values, working with dictionaries and their properties
    5. Program Control Flow
    • Conditional statements: if, if else, if elif and nested if
    • Python indentation
    • Looping and iteration: for loop, while loop, loop else and nested loops
    • Break and continue
    • The range function: introduction, types and use
    6. NumPy and SciPy
    • Introduction to arrays and matrices
    • Broadcasting of array math and array indexing
    • Standard deviation, conditional probability, correlation and covariance
    • Introduction to SciPy, and functions built on NumPy: cluster, linalg, signal, optimize and integrate
    • SciPy with the Bayes theorem
    • Hands on: importing NumPy, creating an array, standard deviation, correlation and the Bayes theorem on a dataset
    7. Matplotlib for Data Visualization
    • Plots with the functional approach and multiple plots with subplot
    • Figures with the object oriented API
    • Axes, labels and titles
    • Customization: figure size, dpi and plot appearance
    • Markers, axis control and special plot types
    8. Pandas for Data Analysis
    • Introduction to Python DataFrames
    • Importing data from JSON, CSV, Excel, SQL databases and NumPy arrays
    • Selecting, filtering, sorting, viewing, joining and combining data
    • Hands on: importing data from JSON files, selecting a record by group and filtering top records

    Python Course Fees, Duration and Learning Formats

    The Python course runs for 3 months. All formats include the same curriculum and projects.

    Swipe sideways to compare all three formats →

    Self Paced Most Popular
    Live Online
    Classroom
    Recorded Content ✓ ✓ ✓
    Live Classes Not included ✓ ✓
    Trainer Support Limited ✓ ✓
    Projects ✓ ✓ ✓
    Career Support [Specify] ✓ ✓
    Access Lifetime [Duration] [Duration]
    Price
    ₹5,000
    or ₹[X,XXX] per month EMI
    ₹13,500
    or ₹[X,XXX] per month EMI
    ₹14,000
    or ₹[X,XXX] per month EMI

    Talk to an Advisor

    What happens after you enquire?

    1
    Submit enquiry
    2
    Advisor calls you
    3
    Discuss background & goals
    4
    Choose suitable batch
    5
    Complete enrollment
    6
    Start learning

    Python Course FAQs

    Who can join this Python course?
    Beginners, students, graduates, working professionals and aspiring data analysts can join. The course starts with Linux, SQL and Python basics, so you do not need earlier coding experience.
    Is this an online Python course for beginners?
    Yes. You learn Linux and SQL first, then Python from installation to control flow, and then the data libraries. Classes are live and recorded, so you can repeat any topic. You do not need to know SQL or Linux before joining.
    What is the Python course duration?
    The course runs for 3 months.
    What are the Python course fees?
    The live online course fee is ₹13,500. The classroom fee is ₹14,000. The self paced course costs ₹5,000. Contact the learning team for EMI details.
    What is in the Python course syllabus?
    The syllabus has 14 modules: Linux, SQL, Python setup, language basics, operators, lists, tuples, sets, dictionaries, program control flow, NumPy, SciPy, Matplotlib and Pandas. See the full syllabus above.
    Is this a Python certification course?
    You receive a Prwatech certificate of completion, and it is included in the course. It is a course certificate and not a vendor exam. Preparation for a vendor exam is not part of this course.
    Does the course cover advanced Python or web development?
    The course covers Python programming basics and the data libraries NumPy, SciPy, Matplotlib and Pandas. It does not cover web frameworks such as Django or Flask. If you want to continue into machine learning and analytics, see our Data Science course.
    Will I work on projects?
    Yes. The modules include hands on exercises, and a real time project is part of the course.
    Do you provide job assistance?
    Learners who pass the screening test receive interview calls. We also help with your CV and with interview preparation. We do not guarantee a job offer.
    What if I miss a live class?
    Every class is recorded and uploaded to your LMS. Earlier class recordings and presentations are also available to you.

    Start Learning Python

    Get the complete curriculum and speak with a learning advisor about the right learning format for you.

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